VP of Engineering - Cloud, AI, and Microservices. London, United Kingdom

ESR Healthcare; London; On-site; GBP 100,000 - 150,000; Full time

Job summary

ESR Healthcare seeks a VP of Engineering to oversee engineering teams, manage client relations, and drive successful project delivery in cloud, AI, and Microservices. Ideal candidates will have extensive experience in technical leadership within tech consultancies or product development companies.

Qualifications

• 15+ years experience, last 5 years in a senior engineering role.
• Proven experience managing engineering teams.
• Strong communication skills for non-technical stakeholders.

Responsibilities

• Lead engineering teams in executing client projects, ensuring high quality.
• Act as primary technical point of contact for clients.
• Manage and mentor engineering managers and developers.

Skills

.NET (C#)

Python (Django, Flask)

Node.js (Express.js)

React

Cloud technologies (AWS, Azure)

AI integration

Leadership

Client engagement

Job description

VP of Engineering - Cloud, AI, and Microservices. London, United King

Description
We are seeking a Hands-on Director/ VP of Engineering to lead our engineering teams, manage client relationships, and ensure successful project delivery with a focus on cloud, AI, and Microservices. Reporting to the SVP of Engineering, the ideal candidate would have 15+ years of experience, with the last 5 years in a senior engineering role for a tech consultancy or a product development company.

Key Responsibilities:

Client-Facing Leadership:
Lead engineering teams in executing client projects, ensuring high quality, timely delivery.
Act as the primary technical point of contact for clients, managing expectations and ensuring solutions align withbusiness needs.
Guide clients through technical decisions, helping them adopt modern architectures, cloud platforms (AWS, Azure), andAI-driven solutions.
Technical Leadership:

Provide hands-on leadership in system design, development, and deployment, particularly with cloud-based systems,Microservices, and AI integrations.
Oversee LLM (Large Language Model) integration, leveraging models like GPT, and implement advanced AIarchitectures such as Retrieval-Augmented Generation (RAG) and Reinforcement Learning with HumanFeedback (RLHF).
Lead the development of applications using React, .NET, Python, or Node.js, ensuring scalable, maintainable, andperformant solutions.
Team Management:
Manage and mentor engineering managers, leads, and developers, fostering a culture of excellence and continuous learning.
Ensure the team adheres to best practices in coding, architecture, testing, and deployment.
Project Delivery & Client Satisfaction:
Ensure client projects meet deadlines, scope, and quality standards while managing resources effectively.
Resolve technical challenges and proactively address issues that may impact delivery.
Maintain strong client relationships through regular communication and feedback loops.
Required Skills & Qualifications:

Technical Expertise:
Extensive experience in .NET (C#), Python (Django, Flask), or Node.js (Express.js), with hands-on experience buildingbackend systems and APIs with experience on React for front-end development.
Deep knowledge of cloud technologies (AWS, Azure) and experience deploying cloud-native applications and Microservices architectures.
Strong background in AI integration, specifically LLM technologies, RAG, and RLHF architectures, and the ability to apply these in client-facing solutions.
Solid understanding of system design principles, including scalability, high availability, performance and security.
Leadership & Client Engagement:

Proven experience managing engineering teams and leading client engagements, balancing technical leadership withclient-facing responsibilities.
Strong communication skills, capable of translating complex technical concepts for non-technical stakeholders.
Ability to prioritize and manage multiple projects in a fast-paced, client-driven environment.
BH-RH5666
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Location
London, United Kingdom